International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 8, No. 1, 8 Jan. 2018
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Intelligent Tour Planning System using Crowd Sourced Data
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Author(s)
Md. Saef Ullah Miah
1,*
Md. Masuduzzaman
1
Williyam Sarkar
1
H M Mohidul Islam
1
Faisal Porag
1
Sajjad Hossain
1
Index Terms
Data Crowdsourcing, Tourist, BFS, DFS, Dijkstra, Tour Planner, Route Suggestion
Abstract
To observe the beauty of nature and to visit various places around the world, a vast number of tourists visit different countries and many tourist attraction sites now-a-days. But Most of the tourist places have failed to introduce itself as a tourist destination to the visitor due to lack of proper information and proper guideline to visit there. This paper tries to focus on some problems in the tourism industry and try to solve those problems using crowd sourced data with some customized algorithms. Some of the main problems are the lack of information about a destination tourist spot, combination on budget to visit the spot, time of travels etc. We proposed a customize algorithm which will provide maximum suggestion to visit a place with nearest all sub place based on user destination within their given budget and time. Using our method, user can choose the most suitable plan for them to visit those places.
Cite This Paper
Md. Saef Ullah Miah, Md. Masuduzzaman, Williyam Sarkar, H M Mohidul Islam, Faisal Porag, Sajjad Hossain,"Intelligent Tour Planning System using Crowd Sourced Data", International Journal of Education and Management Engineering(IJEME), Vol.8, No.1, pp.22-29, 2018. DOI: 10.5815/ijeme.2018.01.03
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